TUdatalib : Auflistung 20 Fachbereich Informatik nach Typ "Model"

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3D Point Cloud - Altes Hauptgebäude, TU Darmstadt

Daun, Kevin; Kohlbrecher, Stefan (2017)
Benchmarking the Attribution Quality of Vision Models

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2024-12)
Content-Adaptive Downsampling in Convolutional Neural Networks

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2023-06)
Evidence - Computer-assisted Interactive Extraction of Dictionary Examples from Large Corpora

Lee, Ji-Ung; Gurevych, Iryna; Geyken, Alexander (2024)
Fine-tuned model weights for Stance Detection Benchmark System

Schiller, Benjamin; Daxenberger, Johannes; Gurevych, Iryna (2019)
Germeval 2017 Embeddings

Lee, Ji-Ung; Eger, Steffen; Daxenberger, Johannes; Gurevych, Iryna (2017-09)
GMD 2021 ISSM Greenland Setup

Fischler, Yannic; Rückamp, Martin (2021-07)
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training

Kreutz, Thomas; Lemke, Jens; Mühlhäuser, Max; Sanchez Guinea, Alejandro (2024)
LLaMA-2 13B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)
LLaMA-2 13B-Chat Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)
LLaMA-2 70B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)
LLaMA-2 7B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)
Medical Concept Embeddings via Labeled Background Corpora

Loza Mencia, Eneldo; de Melo, Gerard; Nam, Jinseok (2016)
Phi 1.5 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)
Phi-2 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)
Supplementary materials: Mining Legal Arguments in Court Decisions

Habernal, Ivan; Recchia, Recchia; Bretthauer, Sebastian; Gurevych, Iryna; Spiecker genannt Döhmann, Indra; Burchard, Christoph; Faber, Daniel (2022)
Weights for Aspect-Controlled Neural Argument Generation

Schiller, Benjamin; Daxenberger, Johannes; Gurevych, Iryna (2020-05)

Auflistung 20 Fachbereich Informatik nach Typ "Model"

3D Point Cloud - Altes Hauptgebäude, TU Darmstadt ﻿

Benchmarking the Attribution Quality of Vision Models ﻿

Content-Adaptive Downsampling in Convolutional Neural Networks ﻿

Evidence - Computer-assisted Interactive Extraction of Dictionary Examples from Large Corpora ﻿

Fine-tuned model weights for Stance Detection Benchmark System ﻿

Germeval 2017 Embeddings ﻿

GMD 2021 ISSM Greenland Setup ﻿

LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training ﻿

LLaMA-2 13B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models ﻿

LLaMA-2 13B-Chat Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models ﻿

LLaMA-2 70B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models ﻿

LLaMA-2 7B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models ﻿

Med­i­cal Con­cept Em­bed­dings via La­beled Back­ground Cor­po­ra ﻿

Phi 1.5 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models ﻿

Phi-2 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models ﻿

Supplementary materials: Mining Legal Arguments in Court Decisions ﻿

Weights for Aspect-Controlled Neural Argument Generation ﻿

3D Point Cloud - Altes Hauptgebäude, TU Darmstadt

Benchmarking the Attribution Quality of Vision Models

Content-Adaptive Downsampling in Convolutional Neural Networks

Evidence - Computer-assisted Interactive Extraction of Dictionary Examples from Large Corpora

Fine-tuned model weights for Stance Detection Benchmark System

Germeval 2017 Embeddings

GMD 2021 ISSM Greenland Setup

LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training

LLaMA-2 13B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

LLaMA-2 13B-Chat Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

LLaMA-2 70B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

LLaMA-2 7B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Medical Concept Embeddings via Labeled Background Corpora

Phi 1.5 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Phi-2 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Supplementary materials: Mining Legal Arguments in Court Decisions

Weights for Aspect-Controlled Neural Argument Generation